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Data Science related resources and cheatsheets

Home Page: https://adibro.github.io/Data-Science-Resources/

data-science-resources's Introduction

Data Science Resources

This repository contains resources and cheatsheets that should be helpful for anyone learning or practicing data science.

  • Cheat Sheets - contains a lot of useful cheat sheets for Python, data analysis, machine learning, Git and more.
  • Python - contains different Python, Pandas and NumPy guides, tips and tricks.
  • Machine Learning - conatins different machine learning guides: supervised learning (regression, classification, tree-based models etc), unsupervised learning (clustering), feature selection, model evaluation, etc.
  • Data Visualization - contains various data visualization guides - Pandas plotting, Matplotlib, Seaborn, Bokeh.
  • Natural Language Processing - contains Natural Language Processing resources: NLTK, SKLearn NLP and more.
  • Statistics - contains mostly theoretical reading to deepen your understanding of statistics.
  • Mathematics - contains resources for math topics that are relevant for data scientists.
  • Datasets - links to interesting datasets.
  • Development Environment - contains development environment resources: Command Line, Git, Jupyter Notebook, etc.

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